Neversleep

Models by this creator

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Lumimaid-v0.2-12B

NeverSleep

Total Score

65

Lumimaid-v0.2-12B is a powerful text-to-text AI model developed by NeverSleep, a prominent figure in the AI community. This model is part of the Lumimaid family, which also includes the Llama-3-Lumimaid-8B-v0.1 and Llama-3-Lumimaid-8B-v0.1 models. The Lumimaid-v0.2-12B model is a more advanced version of these previous Lumimaid models, with a larger 12B parameter size. Model inputs and outputs The Lumimaid-v0.2-12B model is a text-to-text AI model, meaning it takes textual input and generates textual output. The model can be used for a variety of natural language processing tasks, such as text generation, translation, and summarization. Inputs Textual prompts or content Outputs Generated text Summarized text Translated text Capabilities The Lumimaid-v0.2-12B model is capable of generating coherent and contextually relevant text on a wide range of topics. It can be used for tasks such as creative writing, content generation, and language translation. The model has also demonstrated strong performance in tasks like question answering and text summarization. What can I use it for? The Lumimaid-v0.2-12B model can be used in a variety of applications, such as NeverSleep's own projects or by companies looking to incorporate advanced language AI into their products or services. For example, the model could be used to generate product descriptions, create personalized content, or assist with customer service chatbots. Things to try Experiment with the Lumimaid-v0.2-12B model by providing it with different types of prompts and observing the generated outputs. Try using the model for tasks such as creative writing, summarization, or language translation. You can also explore how the model performs on specialized domains or tasks by comparing its outputs to those of similar models like the Llama-3-Lumimaid-8B-v0.1, Llama-3-Lumimaid-8B-v0.1, and models_by_dalcefo.

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Updated 8/31/2024

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Llama-3-Lumimaid-8B-v0.1

NeverSleep

Total Score

63

Llama-3-Lumimaid-8B-v0.1 is a text-to-text AI model developed by NeverSleep. It is a large-scale language model capable of generating coherent and contextualized text. While the platform did not provide a detailed description, we can infer that this model is likely suitable for a wide range of natural language processing tasks, such as text summarization, language translation, and content generation. Model inputs and outputs The Llama-3-Lumimaid-8B-v0.1 model takes textual input and generates corresponding textual output. The specific input and output formats may vary depending on the task at hand. Inputs Textual data, such as sentences, paragraphs, or longer documents Outputs Textual data, such as summarized or translated text, or generated content Capabilities The Llama-3-Lumimaid-8B-v0.1 model is capable of understanding and generating natural language, making it suitable for a variety of text-based tasks. It can analyze and comprehend the context and meaning of input text, and then produce relevant and coherent output. What can I use it for? The Llama-3-Lumimaid-8B-v0.1 model can be used for a wide range of applications, such as text summarization, language translation, and content generation. These capabilities can be valuable for businesses, researchers, and individuals who need to process, analyze, or generate large amounts of text data efficiently. Things to try With the Llama-3-Lumimaid-8B-v0.1 model, you can experiment with various text-based tasks, such as summarizing long articles, translating between languages, or generating creative content. The model's flexibility and versatility make it a valuable tool for a wide range of applications.

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Updated 6/13/2024

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Llama-3-Lumimaid-8B-v0.1

NeverSleep

Total Score

63

Llama-3-Lumimaid-8B-v0.1 is a text-to-text AI model developed by NeverSleep. It is a large-scale language model capable of generating coherent and contextualized text. While the platform did not provide a detailed description, we can infer that this model is likely suitable for a wide range of natural language processing tasks, such as text summarization, language translation, and content generation. Model inputs and outputs The Llama-3-Lumimaid-8B-v0.1 model takes textual input and generates corresponding textual output. The specific input and output formats may vary depending on the task at hand. Inputs Textual data, such as sentences, paragraphs, or longer documents Outputs Textual data, such as summarized or translated text, or generated content Capabilities The Llama-3-Lumimaid-8B-v0.1 model is capable of understanding and generating natural language, making it suitable for a variety of text-based tasks. It can analyze and comprehend the context and meaning of input text, and then produce relevant and coherent output. What can I use it for? The Llama-3-Lumimaid-8B-v0.1 model can be used for a wide range of applications, such as text summarization, language translation, and content generation. These capabilities can be valuable for businesses, researchers, and individuals who need to process, analyze, or generate large amounts of text data efficiently. Things to try With the Llama-3-Lumimaid-8B-v0.1 model, you can experiment with various text-based tasks, such as summarizing long articles, translating between languages, or generating creative content. The model's flexibility and versatility make it a valuable tool for a wide range of applications.

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Updated 6/13/2024

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Lumimaid-v0.2-8B

NeverSleep

Total Score

52

The Lumimaid-v0.2-8B is a text-to-text AI model developed by NeverSleep. This model is similar to other Lumimaid and Llama models in NeverSleep's portfolio, such as the Lumimaid-v0.2-12B, Llama-3-Lumimaid-8B-v0.1, and models_by_dalcefo. These models share some underlying architecture and training, but may have different capabilities, inputs, and outputs. Model inputs and outputs The Lumimaid-v0.2-8B model is designed to process and generate text. The specific inputs and outputs are not clearly defined in the provided information. Inputs Text Outputs Text Capabilities The Lumimaid-v0.2-8B model can be used for a variety of text-to-text tasks, such as text generation, summarization, and language translation. However, the exact capabilities of this specific model are not clearly outlined. What can I use it for? The Lumimaid-v0.2-8B model could potentially be used for various natural language processing applications, such as chatbots, content creation, or language translation. However, without a clear description of the model's capabilities, it's difficult to recommend specific use cases. Interested users would need to further research and test the model to determine its suitability for their needs. Things to try Given the lack of information provided, it's challenging to suggest specific things to try with the Lumimaid-v0.2-8B model. Users interested in exploring this model would need to experiment with it and assess its performance on their own tasks and datasets.

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Updated 9/6/2024

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Noromaid-20b-v0.1.1

NeverSleep

Total Score

43

The Noromaid-20b-v0.1.1 model is a collaborative effort between IkariDev and Undi. This is a test version, so users should not expect everything to work perfectly. The model is suitable for roleplaying (RP), erotic roleplaying (ERP), and general conversational tasks. It provides an alternative to the frequent model merges seen in similar large language models. Model inputs and outputs The Noromaid-20b-v0.1.1 model accepts text input and generates text output. Users can choose to use the provided custom prompting format or the Alpaca prompting format, depending on their preferences. Inputs Text prompts in the custom format or Alpaca format Outputs Relevant text responses based on the input prompts Capabilities The Noromaid-20b-v0.1.1 model is capable of engaging in a wide range of conversational tasks, including roleplaying, erotic roleplaying, and general discussions. The model has been trained on datasets that aim to improve its human-like behavior and enhance the quality of its outputs. What can I use it for? The Noromaid-20b-v0.1.1 model can be used for various applications, such as: Roleplaying and erotic roleplaying scenarios Conversational assistants for virtual environments or chatbots Generating creative or narrative content Exploring the capabilities of large language models Things to try Users can experiment with the provided custom prompting format or the Alpaca prompting format to see which one fits their needs better. Additionally, they can explore the recommended settings provided by the maintainers to optimize the model's performance for their specific use cases.

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Updated 9/6/2024

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Noromaid-v0.1-mixtral-8x7b-Instruct-v3

NeverSleep

Total Score

43

The Noromaid-v0.1-mixtral-8x7b-Instruct-v3 model is a large language model created by NeverSleep that builds upon the Mixtral model. It is a more powerful version of the Beeg Noromaid model, suitable for roleplay (RP) and erotic roleplay (ERP) tasks. The model was trained on customized datasets focused on RP, uncensoring, and a modified version of the Alpaca prompting format, aiming to achieve a conversational level similar to ChatLM or Llama2-Chat. Model inputs and outputs Inputs Prompt**: The text prompt provided to the model for generation. Outputs Generated text**: The text generated by the model in response to the input prompt. Capabilities The Noromaid-v0.1-mixtral-8x7b-Instruct-v3 model is capable of engaging in open-ended conversation, storytelling, and RP scenarios. It has been trained to provide more uncensored and explicit responses compared to the original Beeg Noromaid model. The model can be used for tasks such as creative writing, character roleplay, and erotic RP. What can I use it for? The Noromaid-v0.1-mixtral-8x7b-Instruct-v3 model can be useful for RP and ERP enthusiasts who want a more powerful and explicit language model to assist with their creative endeavors. It could be incorporated into chatbots, virtual assistants, or other applications where open-ended conversation and storytelling capabilities are desired. However, due to the model's more mature content, it should be deployed with appropriate safeguards and moderation. Things to try One interesting aspect of the Noromaid-v0.1-mixtral-8x7b-Instruct-v3 model is its use of a modified Alpaca prompting format, which aims to achieve a similar conversational level to ChatLM or Llama2-Chat. Users could experiment with different prompting styles and formats to see how the model responds and adapts to various conversational contexts. Additionally, exploring the model's capabilities in RP and ERP scenarios could yield intriguing results, though caution should be exercised when engaging with such content.

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Updated 9/6/2024

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Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss-GGUF

NeverSleep

Total Score

40

The Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss-GGUF model is an experimental large language model (LLM) created by NeverSleep. It builds upon the previous Noromaid-v0.1-Mixtral-Instruct-8x7b-v3 model, incorporating the Zloss fork of the Charles dataset to address issues the previous model had. The model uses the Chatml prompting format, but not the special token, as the author found that directly merging the finetuned model with the base model at full weight was too much. Model inputs and outputs Inputs Users provide prompts in the Chatml format, without the special token Outputs The model generates text responses based on the provided prompts Capabilities The Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss-GGUF model is suitable for roleplaying (RP) and erotic roleplaying (ERP) tasks. It has been improved to address issues with the previous Noromaid-v0.1 model, and the author suggests it should provide better performance. What can I use it for? The Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss-GGUF model can be used for various RP and ERP applications, such as interactive storytelling, character development, and collaborative worldbuilding. While the model is experimental, it may be a useful tool for users interested in these types of creative writing and roleplay activities. Things to try Users may want to experiment with different prompting styles and techniques to see how the model responds. Additionally, trying the model with various RP and ERP scenarios could help uncover its strengths and limitations. As an experimental model, it's important to approach using it with appropriate caution and keep in mind that not everything may work as expected.

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Updated 9/6/2024

🖼️

Llama-3-Lumimaid-8B-v0.1-OAS

NeverSleep

Total Score

39

The Llama-3-Lumimaid-8B-v0.1-OAS is a text-to-text AI model created by NeverSleep. This model is part of the Llama-3 and Lumimaid model families, which are similar large language models developed by NeverSleep. The Llama-3-Lumimaid-8B-v0.1-OAS model is an 8 billion parameter version of the Llama-3 and Lumimaid models, with potential improvements or fine-tuning compared to earlier versions. Model inputs and outputs The Llama-3-Lumimaid-8B-v0.1-OAS model can take a variety of text inputs and generate corresponding text outputs. The specific inputs and outputs supported by the model are not clearly documented. Inputs Text inputs of various lengths and topics Outputs Text outputs generated in response to the input Capabilities The Llama-3-Lumimaid-8B-v0.1-OAS model has capabilities typical of large language models, such as text generation, question answering, and summarization. The model may perform well on a variety of natural language tasks, but its exact capabilities are not clearly defined. What can I use it for? The Llama-3-Lumimaid-8B-v0.1-OAS model could potentially be used for a wide range of natural language processing tasks, such as content creation, language translation, or chatbot development. However, without more information about the model's specific capabilities and training, it's difficult to recommend precise use cases. As with any AI model, it's important to carefully evaluate its performance on your specific use case before deployment. Things to try Given the lack of documentation, the best approach is to experiment with the Llama-3-Lumimaid-8B-v0.1-OAS model on a variety of tasks and evaluate its performance. Try providing different types of text inputs and observe the quality and relevance of the generated outputs. Pay attention to any strengths or limitations of the model that emerge through your testing.

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Updated 9/6/2024